Machine Learning for Networking
Third International Conference, MLN 2020, Paris, France, November 24–26, 2020, Revised Selected Papers
This book constitutes the thoroughly refereed proceedings of the Second International Conference on Machine Learning for Networking, MLN 2019, held in Paris, France, in December 2019. The 26 revised full papers included in the volume were carefully reviewed and selected from 75 submissions. They present and discuss new trends in deep and reinforcement learning, pattern recognition and classification for networks, machine learning for network slicing optimization, 5G system, user behavior prediction, multimedia, IoT, security and protection, optimization and new innovative machine learning methods, performance analysis of machine learning algorithms, experimental evaluations of machine learning, data mining in heterogeneous networks, distributed and decentralized machine learning algorithms, intelligent cloud-support communications, ressource allocation, energy-aware communications, software de ned networks, cooperative networks, positioning and navigation systems, wireless communications, wireless sensor networks, underwater sensor networks.
| ISBN: | 9783030708658 |
|---|---|
| Sprache: | Englisch |
| Seitenzahl: | 375 |
| Produktart: | Kartoniert / Broschiert |
| Herausgeber: | Boumerdassi, Selma Mühlethaler, Paul Renault, Éric |
| Verlag: | Springer International Publishing |
| Veröffentlicht: | 03.03.2021 |
| Untertitel: | Third International Conference, MLN 2020, Paris, France, November 24–26, 2020, Revised Selected Papers |
| Schlagworte: | 5G networks artificial intelligence classification for networks experimental evaluation machine learning algorithms machine learning approaches network slicing optimization pattern recognition performance analysis security |
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